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Guy Lebanon

22 papers · 2005–2016 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (31) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🌱 Topic Pioneer 🌟 Keyword Trendsetter Combo (10) πŸ† Keyword Champion (3) 🧭 Keyword Pioneer πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (94) πŸ”₯ Unstoppable Β· Bronze 🌈 Renaissance Researcher (5) πŸ’Ž Century Club Β· Bronze

Venues

JMLR (8) AISTATS (5) NeurIPS (3) COLING (2) ICML (2) CVPR (1) EMNLP (1)

Top co-authors

Krishnakumar Balasubramanian (6) Yi Mao (5) Seungyeon Kim (5) Joonseok Lee (4) Pinar Donmez (3) Mingxuan Sun (3) Fuxin Li (2) Joshua Dillon (2) Paul Kidwell (2) Yoram Singer (2)

Research topics

Machine Learning (16) Core Methods (14) Learning Types (6) Optimization & Theory (5) Mathematics & Optimization (4) Data Science & Analytics (3) Natural Language Processing (3) Applications Β· Data Science & Analytics (3) Mathematics (3) Applications Β· Natural Language Processing (2) Bayesian & Probabilistic (2) Artificial Intelligence (1) Computer Vision (1) Analysis (1) Application Areas (1)

Keywords

collaborative filtering (5) recommendation system (4) unlabeled data (3) nonparametric model (3) matrix factorization (3) margin-based classification (2) kernel smoothing (2) recommender system (2) composite likelihood (2) transfer learning (2) partial ranking (2) unsupervised learning (2) semi-supervised learning (2) sentiment analysis (2) conditional random field (2) sparse coding (1) sequence labeling (1) image segmentation (1) statistical learning (1) em algorithm (1)

Papers

LLORMA: Local Low-Rank Matrix Approximation JMLR 2016 Beyond Sentiment: The Manifold of Human Emotions AISTATS 2013 Composite Statistical Inference for Semantic Segmentation CVPR 2013 Local Low-Rank Matrix Approximation ICML 2013 Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations ICML 2013 Ultrahigh Dimensional Feature Screening via RKHS Embeddings AISTATS 2013 Automatic Feature Induction for Stagewise Collaborative Filtering NeurIPS 2012 PREA: Personalized Recommendation Algorithms Toolkit JMLR 2012 Estimating Probabilities in Recommendation Systems AISTATS 2011 Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011 Unsupervised Supervised Learning II: Margin-Based Classification Without Labels JMLR 2011 Dimensionality Reduction for Text using Domain Knowledge COLING 2010 Local Space-Time Smoothing for Version Controlled Documents COLING 2010 Stochastic Composite Likelihood JMLR 2010 Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels JMLR 2010 Statistical Estimation of Word Acquisition with Application to Readability Prediction EMNLP 2009 Non-Parametric Modeling of Partially Ranked Data JMLR 2008 Non-parametric Modeling of Partially Ranked Data NeurIPS 2007 The Locally Weighted Bag of Words Framework for Document Representation JMLR 2007 Isotonic Conditional Random Fields and Local Sentiment Flow NeurIPS 2006 Diffusion Kernels on Statistical Manifolds JMLR 2005 Statistical and Computational Tradeoffs in Stochastic Composite Likelihood AISTATS 2005